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Developers have secrets everywhere.

One thing I've noticed over the last year is that AI has changed the cost of experimentation.

Hi Product Hunt, some updates on Banger Mail after the PH's launch.
We started to receive great feedback and I'm personally onboarding a small batch of Mac-based teams that want to use Banger Mail on real shared inbox work.
This is not a subscription push. I want to see how your team handles support, sales, hello@, founders@, and other shared email workflows so we can make Banger better for the teams using it.
Right now this onboarding batch is for teams using Mac. If your team is on Windows, you'll need to wait for the Windows app launch, but reply and I'll make sure you're on that list.
If you start soon, I'll include: hands-on setup, help priority, feedback sessions and an early-team credit on your first bill
If that sounds useful, just reply with:
- whether the people using Banger are on Mac today
- which inboxes you want to bring into Banger
- what currently makes team email painful for you
Tiago - Banger Mail

We've shipped native GitHub Actions support for Writulos.

Just one step in your workflow YAML and docs get generated automatically on every push, PR, or release. No context switching, no manual updates.

Would love feedback from anyone who's tried baking doc generation into their CI pipeline.

Improved: Your account and AI preferences now live together in one streamlined Settings spot no more hunting between separate menus for what you want to tweak.

Fixed: Setting Quartz as your default mail client and clicking a mailto: link no longer freezes the app your compose window pops open smoothly, every time.

Shipped v1.10 yesterday. Redeploy only, no migration.

The thing that was broken: ask your memory store for something specific, like a version string or an error code, and it'd come back with the wrong thing. Confidently. Dense search embeds those identifiers so close together it can't tell them apart. It's not a miss, it's a wrong answer that looks right.

These came from people who tried the SlimSnap screenshot-to-JSON workflow during launch and asked for something specific. Listing in the order they came in.

1. Screenshot capture for scrollable content and open dropdowns. Right now the capture clips to the visible window, so if a dropdown or long list is open, parts get cut. Balpreet S flagged this on LinkedIn.

2. Native Mac app screenshot support (scope verification). Several people asked whether SlimSnap captures Linear / Notion / Figma desktop screenshots, or just browser windows. The answer changes who can use it.

3. Confidence and overlap indicators on annotations. When the arrow is ambiguous (e.g. drawn between two close buttons in the screenshot), the JSON should signal that. Corey Clark asked on LinkedIn.

4. Nested element hierarchy in the schema. Current screenshot schema is flat with bbox containment for nesting. Jyoti S Mohanty asked whether to make hierarchy explicit. Schema v2 candidate.

5. Hybrid mode (JSON + raw screenshot). For users who want the safety net of pixels alongside the structured spec. Martin Zokov asked on X. Optional, would double the per-screenshot token cost.

6. Windows screenshot support. Multiple people. OCR layer is Mac-native, so this is a real porting project, not a one-line change.

Which one should I build next? Vote in the comments, ideally with one line on why it matters for your screenshot workflow.

I have my own gut ranking but want to see what actual users prioritize.

Finally launched the animate mode, in design studio, which surely would be a game changer for cool quick animations!
head out to https://bitgrain.app today to use it : )

The localization pipeline wraps the core translate step with optional stages, each independently toggleable per engine and overridable per job:

• Pre-localization AI edit. An AI agent cleans the source payload before translation, so a single source error doesn't propagate across every target locale.

• Post-localization human edit. Sends the translation to a qualified human translator. The job pauses on a webhook until the edit returns.

• Post-localization AI review. Reconciles the human output against the engine's glossary, brand voice, and instructions.

• Back-translation check. Translates the final output back into the source locale and compares. The agent flags semantic drift by severity and auto-adjusts on major or critical drift.

Turn on what you need, leave the rest off.

Thanks everyone for the support on Grayscale !

It s been 7 days since launch, and I m really grateful for the upvotes, follows, and feedback so far.

major re-write of the platform as I wanna bring more data into it and potentially exposing an API for it.

give me more suggestions of VC/Incubators that have websites and/or APIs we can hit and insert into the platform for everyone to use!

Changes:
- Now when split view is enabled, the active pane indicator will appear in the status bar, so it's easier to tell where the actions will apply (shortcuts like quick search, open in terminal, etc.)

Next month I'll be re-launching Hello Inbox on PH as a B2B email deliverability SaaS.

But, there's a back story I wanted to share with the community on how I validated the idea, and scaled to $12K MRR before deciding to build and launch a SaaS solution for my clients.

I open a new tab more than a hundred times a day.

Most of the time, it feels like nothing.

Thumbmagic is an AI thumbnail generator built for creators and teams who can't afford to lose clicks to bad creative.

Paste a link from YouTube, TikTok, or Instagram and Thumbmagic reads your video, understands the content, and generates high-CTR thumbnails instantly. No designer, no brief, no back and forth.

What makes it different:

AI Designer one click generates a ready-to-use thumbnail optimized for your content and platform.

The new Lingo.dev CLI now runs the localization pipeline pre-edit, human review, AI review, rephrase, back-translation, each toggled on the engine.

Toggle stages on the engine's Pipeline tab, or override per job through pipelineConfig. Pre-edit cleans typos in the source before they reach any locale. The core localization step applies your glossary, brand voice, and instructions. Human review pauses the run until your team or an external provider signs off. AI review reconciles a reviewer's edits back to engine config. Rephrase rewrites for marketing copy. Back-translation flags semantic drift.

A run that includes a human-review stage can wait days before it lands, so the CLI splits a job into lingo push and lingo pull. pull re-attaches to the most recent push and downloads outputs from any machine, including after the original terminal was closed.

After using and implementing AI for the past few years, I've noticed my trust falls into four buckets.

Summarizing meetings

Drafting emails

Finding information across my notes and documents

Hi Product Hunt community,

A couple of months ago, I shared that Guitar Wiz was selected as an Apple Design Awards finalist. I m incredibly happy to share that Guitar Wiz has now won the Apple Design Award in the Inclusivity category.

Guitar Wiz is an all-in-one guitar companion with a tuner, metronome, chord library, reverse chord finder, chord theory, practice tools, and accessibility features designed to help more musicians learn and play independently.

We just dropped a massive update for Orchestria, completely shifting from just an instrumentation studio to a full-scale AI music engine. You can now generate radio-ready tracks featuring highly realistic, professional vocal chains alongside top-tier musical compositions. But we re still staying true to our core mission: zero black boxes. Instead of getting a locked, flat audio file, you still get full control over individual stems and raw MIDI. Whether you want to drop studio-grade vocals, conduct specific instrument lanes with text, or export the MIDI straight into your DAW, the new pipeline delivers pristine audio fidelity without stripping away your control as a producer.

Receipt parsing sounded like a solved problem until I actually built it.

Thermal paper fades in 60-90 days. Retailers print GST invoices in at least a dozen layouts. Some put the warranty period in the footer, some in the line item, some nowhere at all. And the one field you need most, the purchase date, appears as 07/03/25, 7-Mar-2025, or 070325 depending on the billing software.

Our first parser got 61% field accuracy. Shipping that would have meant users correcting the AI more often than trusting it, which kills the product.

Hey everyone,

Quick recap for new faces: Solarch turns your architecture diagram into a real, type-safe NestJS codebase the diagram is the source of truth, not an afterthought. The whole bet is architecture that's verified, not guessed.

A CMO at a midsize enterprise software company had a moment recently.
Her team spent three years building top-of-page-one SEO dominance. Then someone ran a simple test: typed the company's core use case into ChatGPT and asked for vendor recommendations.
The company didn't appear. Not once. "We thought we had search figured out," she said. "Turns out we optimized for the wrong engine"

That scenario is playing out across industries. Most organizations haven't caught up.

The numbers that explain the shift

Generative AI has moved from novelty to primary research channel faster than almost any technology before it. ChatGPT alone has over 900 million weekly active users. Google AI Overviews now appear in more than 25% of all searches, up from 13% just a year ago .

Hey all solo maker here, just shipped the feature I'm most excited about.

You know the problem with most TTS tools: they free up your eyes, but your brain still can't keep up. Hit a dense doc or a hardcore explainer and the voice just drones on word for word by the end your head's mush and you're rereading it yourself anyway. Slow and exhausting.

That's the part I wanted to fix, so CastReader now has a Read & Explain mode. Instead of reading verbatim, it explains as it goes all in sync with the audio. Three things I'm proud of:

• It explains, not just narrates it breaks down the convoluted bits and says them in plain language, so dense or obscure writing clicks by ear.

• It marks up the page as it talks (my favorite part) a virtual pen moves across the original text in sync with the voice, circling and highlighting the key info, like taking notes by hand. Light touch, never covers the text; your eyes follow the pen, so you stop drifting off mid-listen.

• Synced subtitles every line of explanation shows up word-by-word, so you read and listen at once.

Hey PH community

We just launched the #MadeUpCountry Challenge on TravelAnimator.

The idea is simple:
The world map has always been drawn by wars, treaties, and political agreements made in rooms most people never entered. We thought, what if anyone could redraw it?
So we built exactly that.

How it works: